Applying Physiologically-Motivated Models of Auditory Processing to Automatic Speech Recognition: Promise and Progress

• Item type: SIG Technical Reports(1)
• 公開日: 2016-01-29
• タイトル: Applying Physiologically-Motivated Models of Auditory Processing to Automatic Speech Recognition: Promise and Progress
• タイトル / 言語: en
• タイトル: Applying Physiologically-Motivated Models of Auditory Processing to Automatic Speech Recognition: Promise and Progress
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 招待講演
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Department of Electrical and Computer Engineering and Language Technologies Institute Carnegie Mellon University
• 著者所属(英): en
• 著者所属(英): Department of Electrical and Computer Engineering and Language Technologies Institute Carnegie Mellon University
• 著者名: Richard, Stern
• 著者名(英): Richard, Stern
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The human auditory system has been an inspiration for developers of automatic speech recognition systems for many years because of its ability to interpret speech accurately in a wide variety of difficult acoustical environments. This talk will discuss the application of physiologically-motivated and psychophysically-motivated approaches to signal processing that facilitates robust automatic speech recognition. The talk will begin by reviewing selected aspects of auditory processing that are believed to be especially relevant to speech perception, and that had been components of signal processing schemes that were proposed in the 1980s. We will review and discuss the motivation for, and the structure of, classical and contemporary computational models of auditory processing that have been applied to speech recognition, and we will evaluate and compare their impact on improving speech recognition accuracy. We will discuss some of the general observations and results that have been obtained during the renaissance of activity in auditory-based features over the past 15 years. Finally, we will identify certain attributes of auditory processing that we believe to be generally helpful, and share insights that we have gleaned about auditory processing from recent work at Carnegie Mellon.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The human auditory system has been an inspiration for developers of automatic speech recognition systems for many years because of its ability to interpret speech accurately in a wide variety of difficult acoustical environments. This talk will discuss the application of physiologically-motivated and psychophysically-motivated approaches to signal processing that facilitates robust automatic speech recognition. The talk will begin by reviewing selected aspects of auditory processing that are believed to be especially relevant to speech perception, and that had been components of signal processing schemes that were proposed in the 1980s. We will review and discuss the motivation for, and the structure of, classical and contemporary computational models of auditory processing that have been applied to speech recognition, and we will evaluate and compare their impact on improving speech recognition accuracy. We will discuss some of the general observations and results that have been obtained during the renaissance of activity in auditory-based features over the past 15 years. Finally, we will identify certain attributes of auditory processing that we believe to be generally helpful, and share insights that we have gleaned about auditory processing from recent work at Carnegie Mellon.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN10442647
• 書誌情報: 研究報告音声言語情報処理（SLP）; 巻 2016-SLP-110, 号 3, p. 1-1, 発行日 2016-01-29
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8663
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会